Classification and Learning Using Genetic Algorithms - Applications in Bioinformatics and Web Intelligence. Natural Computing Series. (Electronic book text)

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This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis--vis several widely used classifiers, including neural networks. The book provides a balanced mixture of theories, algorithms, and applications, in particular results from the bioinformatics and Web intelligence domains.

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Product Description

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis--vis several widely used classifiers, including neural networks. The book provides a balanced mixture of theories, algorithms, and applications, in particular results from the bioinformatics and Web intelligence domains.

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Product Details

General

Imprint

Springer

Country of origin

United States

Release date

2007

Availability

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Authors

,

Format

Electronic book text

Pages

320

ISBN-13

978-6610864713

Barcode

9786610864713

Categories

LSN

6610864713



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